Job Application - Quantitative Analyst

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Reference

Question 1

1. Stock Market Forecasting Using LASSO Linear Regression Model
2. Using LASSO from lars (or glmnet) package in R for variable selection
3. Difference between glmnet() and cv.glmnet() in R?
4. Testing Kelly Criterion and Optimal f in R
5. Portfolio Optimization and Monte Carlo Simulation
6. Glmnet Vignette
7. lasso怎么用算法实现？
8. The Sparse Matrix and {glmnet}
9. Regularization and Variable Selection via the Elastic Net
10. LASSO, Ridge, and Elastic Net
11. 热门数据挖掘模型应用入门（一）: LASSO回归
12. The Lasso Page
13. Call_Valuation.R
14. Lecture 6 – Stochastic Processes and Monte Carlo
15. The caret Package
16. Time Series Cross Validation
17. Character-Code.com
18. Size Matters – Kelly Optimization

Question 2

Question 3

1. Data APIs/feeds available as packages in R